HYBRID EVENT: You can participate in person at Orlando, Florida, USA or Virtually from your home or work.

9th Edition of Nursing World Conference

October 27-29, 2025

NWC 2025

Network analysis of comorbid depression and anxiety and their associations with academic engagement among nursing students

Speaker at Nursing Conference - Jiale Han
Zhengzhou University, China
Title : Network analysis of comorbid depression and anxiety and their associations with academic engagement among nursing students

Abstract:

Background: Nursing students often encounter mental health issues, such as depression and anxiety, which can significantly impact their academic performance and overall well-being. These challenges necessitate timely recognition and intervention to support their mental health and academic engagement. This study aims to investigate the complex relationships among depression, anxiety, and academic engagement using a network analysis approach, providing insights into how these factors interact within the context of nursing education.

Methods: A total of 618 nursing students were included in this cross-sectional study. Depression and anxiety symptoms were measured using the nine-item Patient Health Questionnaire (PHQ-9) and the seven-item Generalized Anxiety Disorder Scale (GAD-7), respectively. Academic engagement was assessed using the Utrecht Work Engagement Scale for Students (UWES-S). A Gaussian Graphical Model (GGM) was employed to construct the networks, allowing for the visualization of symptom interactions. Central and bridge symptoms were evaluated using Expected Influence (EI) and bridge EI, respectively. The Network Comparison Test (NCT) was applied to determine whether the associations between depression and anxiety symptoms vary by gender and residential status.

Results: In the depression and anxiety network, “Fatigue”, “Guilt”, and “Difficulty relaxing” were the central symptoms. “Sad mood”, “Irritability”, and “Feeling afraid” served as the primary bridge symptoms. “Concentration”, “Anhedonia” and “Motor” exhibited the most robust correlations with academic engagement. Gender and residency did not correlate with global strength and edge weights.

Conclusions: Our findings provide a nuanced explanation of the interplay among depression, anxiety, and academic engagement in nursing students. Schools and healthcare facilities should develop targeted interventions to address these mental health challenges, particularly by focusing on the identified central and bridge symptoms. For instance, interventions could include stress management programs, counseling services, and educational strategies to improve concentration and reduce anhedonia. Additionally, alleviating symptoms of anxiety and depression can significantly enhance academic engagement, ultimately supporting the holistic development of nursing students.

Biography:

Han Jiale studied Nursing at the School of Nursing and Health, North China University of Science and Technology, from 2019 to 2023 and graduated in June 2023 with a Bachelor of Science in Nursing. In the same year, she was recommended for graduate studies and is currently pursuing a Master of Science in Nursing at the School of Nursing and Health, Zhengzhou University.

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